Update README.md

README.md

@@ -6,21 +6,23 @@ model-index:
 - name: rttl-ai/SentyBert
   results:
   - task:
-      type: task-classification           
-      name: Text Classification     
+      type: task-classification
+      name: Text Classification
     dataset:
-      type: sst2          
-      name: sst2          
+      type: sst2
+      name: sst2
       config: default
-      split: validation    
+      split: validation
     metrics:
-      - type: f1         
-        value: 0.9992
-        name: F1 Macro
-      - type: accuracy
-        value: 0.9992
-        name: Accuracy
-        
+    - type: f1
+      value: 0.9992
+      name: F1 Macro
+    - type: accuracy
+      value: 0.9992
+      name: Accuracy
+datasets:
+- sst2
+- sst
 ---
 
 # rttl-ai/SentyBert
@@ -35,4 +37,4 @@ This model reaches an accuracy of 99.92 on the dev set.
 - **Resources for more information:**
  - The model was pre-trained with task-adaptive pre-training [TAPT](https://arxiv.org/pdf/2004.10964.pdf) with an increased masking rate, no corruption strategy, and using WWM, following [this paper](https://aclanthology.org/2023.eacl-main.217.pdf)
     - fine-tuned on sst with subtrees 
-    - fine-tuned on sst2
+    - fine-tuned on sst2